AI Agents Can Now Hire Humans to Finish Tasks They Cannot
A new platform called Rent a Human allows AI agents to outsource tasks to real people when automation falls short, highlighting an unusual hybrid model of human-in-the-loop labor.
AI infrastructure refers to the combination of hardware, software, and cloud systems that provide the computing foundation needed to build, train, and deploy artificial intelligence models. It includes powerful GPUs, TPUs, data storage, networking, and specialized frameworks optimized for large-scale machine learning. Modern AI infrastructure supports the full lifecycle of model development — from data preprocessing and training to deployment and monitoring. Cloud providers such as Google, AWS, and Microsoft Azure have built robust AI infrastructure platforms that enable organizations to scale workloads efficiently and securely. As AI systems grow more complex, scalable infrastructure has become a strategic asset, powering breakthroughs in generative AI, automation, and enterprise applications.
A new platform called Rent a Human allows AI agents to outsource tasks to real people when automation falls short, highlighting an unusual hybrid model of human-in-the-loop labor.
Siemens Energy plans to spend $1 billion expanding manufacturing and services in the United States, targeting surging demand for power generation equipment driven by data centers, electrification, and grid upgrades.
Artificial intelligence has become the top investment theme for global family offices, while cryptocurrencies remain largely sidelined, according to JPMorgan’s latest global survey.
SpaceX has acquired Elon Musk’s AI company xAI, combining rockets, satellites, and artificial intelligence into a vertically integrated effort aimed at scaling AI compute beyond Earth.
Microsoft has introduced Maia 200, a new AI chip built with TSMC and designed to power GPT-5.2 and Microsoft 365 Copilot, promising faster, more efficient AI performance.
OpenAI is on track to unveil its first consumer device in the second half of 2026, signaling a major expansion beyond software as the company explores a new category of AI-native hardware.
Microsoft outlined a community-first strategy for expanding AI data centers, promising to cover electricity costs and reduce local environmental impact. The move comes amid rising public opposition to large-scale AI infrastructure projects.
Meta has introduced a new top-level initiative, Meta Compute, to expand its AI infrastructure and energy capacity at large scale. The effort signals a long-term push to support advanced AI development and global data center growth.
Alphabet reached a $4 trillion market valuation after a 65% stock gain in 2025, fueled by AI investments including Gemini 3 and custom AI chips for enterprise and consumer products.
xAI closed a $20 billion Series E round, exceeding its original target and adding strategic backing from NVIDIA and Cisco. The funding supports expanded data center capacity, large-scale GPU deployment, and continued development of the Grok model family.